Debiaser for Multiple Variables to enhance fairness in classification tasks     

《Information processing & management》2023,60(2):103226

Nowadays assuring that search and recommendation systems are fair and do not apply discrimination among any kind of population has become of paramount importance. This is also highlighted by some of the sustainable development goals proposed by the United Nations. Those systems typically rely on machine learning algorithms that solve the classification task. Although the problem of fairness has been widely addressed in binary classification, unfortunately, the fairness of multi-class classification problem needs to be further investigated lacking well-established solutions. For the aforementioned reasons, in this paper, we present the Debiaser for Multiple Variables (DEMV), an approach able to mitigate unbalanced groups bias (i.e., bias caused by an unequal distribution of instances in the population) in both binary and multi-class classification problems with multiple sensitive variables. The proposed method is compared, under several conditions, with a set of well-established baselines using different categories of classifiers. At first we conduct a specific study to understand which is the best generation strategies and their impact on DEMV’s ability to improve fairness. Then, we evaluate our method on a heterogeneous set of datasets and we show how it overcomes the established algorithms of the literature in the multi-class classification setting and in the binary classification setting when more than two sensitive variables are involved. Finally, based on the conducted experiments, we discuss strengths and weaknesses of our method and of the other baselines.  相似文献   

Artificial intelligence implication on energy sustainability in Internet of Things: A survey     

《Information processing & management》2023,60(2):103212

The massive number of Internet of Things (IoT) devices connected to the Internet is continuously increasing. The operations of these devices rely on consuming huge amounts of energy. Power limitation is a major issue hindering the operation of IoT applications and services. To improve operational visibility, Low-power devices which constitute IoT networks, drive the need for sustainable sources of energy to carry out their tasks for a prolonged period of time. Moreover, the means to ensure energy sustainability and QoS must consider the stochastic nature of the energy supplies and dynamic IoT environments. Artificial Intelligence (AI) enhanced protocols and algorithms are capable of predicting and forecasting demand as well as providing leverage at different stages of energy use to supply. AI will improve the efficiency of energy infrastructure and decrease waste in distributed energy systems, ensuring their long-term viability. In this paper, we conduct a survey to explore enhanced AI-based solutions to achieve energy sustainability in IoT applications. AI is relevant through the integration of various Machine Learning (ML) and Swarm Intelligence (SI) techniques in the design of existing protocols. ML mechanisms used in the literature include variously supervised and unsupervised learning methods as well as reinforcement learning (RL) solutions. The survey constitutes a complete guideline for readers who wish to get acquainted with recent development and research advances in AI-based energy sustainability in IoT Networks. The survey also explores the different open issues and challenges.  相似文献   

Exploring an intervention’s impact on everyday school activities     

Marianne Björn  Idor Svensson 《Support for Learning》2021,36(1):5-19

The focus of this paper is on a group of pupils with reading and writing difficulties who have been participating in an intervention study using assistive technology. That intervention study contained supervised training sessions with reading and writing tasks using an iPad with special supportive applications. The current study is a qualitative investigation of whether there has been any transfer from the intervention, to the pupils’ everyday school activities. Interviews with pupils and their teachers and observations during classroom lectures have been used to collect data. The results show that the pupils were positive to the assistive technology (the applications on the iPads), they found the apps easy to learn how to use and they appreciated the benefits they could give. Even so, only a few of the pupils had found use for and continued to use the tools after the intervention period finished. Possible reasons are that when the novelty wore off, students reverted to their usual study habits and that older students with many teachers and different classrooms were less able to adapt to using the apps. To improve transfer, it is suggested to introduce assistive technology earlier to students, in the younger grades, before study habits have been formed and to inform teachers about the use of AT in the classroom, including what is available and how it can benefit students.  相似文献   

Recording the war effort: immigrant communities in Latin America and the memory of the Great War     

María Inés Tato 《档案与原稿》2020,48(2):200-215

ABSTRACT

This paper aims to analyse the initiatives undertaken by some immigrant communities residing in Latin America to record their mobilisation around the First World War. After the armistice, European communities in Argentina, Bolivia, Brazil, Chile, Mexico, Paraguay, Peru, Uruguay and other countries gathered detailed information about their activities during the conflict, published as profusely illustrated books of remembrance, offered to their governments as proof of their loyalty. The article intends to establish the peculiar nature of these publications as records of the war effort, and analyse the agents and processes of their elaboration, and their role as commemorative but also as archival documents.  相似文献   

美国《图书馆杂志》“年度图书馆”奖获得者服务特色分析     

谈大军  王梦迪 《图书情报工作》2020,64(7):145-152

[目的/意义] 对美国《图书馆杂志》从1992年开始设立的"年度图书馆"奖的评选标准以及获奖图书馆的特色服务进行研究，旨在为我国图书馆开展特色化服务提供借鉴。[方法/过程] 通过网络调查法和案例分析法，对2000-2018年获得"年度图书馆"奖的19所图书馆开展的特色服务进行比较分析。[结果/结论] 获奖图书馆的服务特色：重视公民教育，强化教育职能；强调均等服务理念，体现人文关怀；提供多元社区信息服务，参与社区建设；树立品牌意识，打造品牌项目。对我国图书馆界的启示：科学合理地进行角色定位；积极参与社区贫困计划；强化特色服务品牌意识；拓宽合作领域。  相似文献   

我国政府大数据政策价值取向的分析研究     

陈慧  王晓晓  段尧清 《图书情报工作》2020,64(11):19-27

[目的/意义] 大数据政策是大数据应用和发展的推动力量，其价值取向分析可以为我国政府大数据政策的制定、执行和评估提供借鉴，为大数据政策未来的发展方向提供依据。[方法/过程] 收集国务院及其各部门门户网站发布的政务大数据政策文本共计58份，运用主题分析方法对政策文本中表达政务大数据价值取向的主题进行编码分析，编码过程以NVivo12软件为辅助工具。[结果/结论] 通过主题分析，构建大数据政策价值取向总体框架，框架总结政治、经济、社会、生态与科技5个维度的价值取向，并探讨各维度及其具体价值取向间的交互关系。  相似文献   

数据管理与数据治理的比较分析及其对制定科学数据开放共享政策的启示     

盛小平  宋大成 《图书情报工作》2020,64(22):4-10

[目的/意义] 比较分析数据管理与数据治理差异与联系，为制定科学数据开放共享政策提供参考。[方法/过程] 运用比较分析法，解析数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域5个方面的异同，由此解析其对制定我国科学数据开放共享政策的启示。[结果/结论] 数据管理与数据治理在定义与内涵、功能、目标、原则、焦点领域上都有显著差异，但两者也有内在联系。数据治理是成功实施数据管理的关键。认清两者的关系有助于明晰目前我国科学数据管理政策的不足之处，为今后完善科学数据管理办法提供参考，从而规划与制定实用的科学数据开放共享细则。  相似文献   

专题情报数据管理与智能分析平台的构建     

于倩倩  钱力  程冰  常志军  王慧丽  靳茜 《图书情报工作》2020,64(24):92-105

[目的/意义] 面对多学科领域、多类型用户的专题情报服务需求，建立专题情报数据管理与智能分析平台。实现专题情报分析的流程化和智能化，同时对融入专家智慧的专题情报分析过程数据进行管理，丰富服务模式，提升服务需求响应速度。[方法/过程] 在调研已有相关研究与实践分析基础上，提出平台设计思路、建设框架，对平台主要功能和关键技术进行剖析。[结果/结论] 专题情报数据管理与智能分析平台已建设完成。平台集成了多来源多类型数据，打通了从数据到分析的服务链条。嵌入了多种情报分析方法和深度学习算法，实现了多维多层次分析服务。能够对分析过程和情报分析人员历史积累数据进行管理，实现数据共享和重复利用。  相似文献   

《左传》的文本之争与文本流变     

郭彩萍  李金荣 《图书馆论坛》2020,(6):128-135

《左传》是我国首部以编年为次序、以鲁国十二公为传主,系统记述春秋战国时期历史,对中国文化产生了巨大影响的文史作品。文章在概述《左传》文化价值的基础上,梳理了两千多年来关于《左传》文本与作者的主要学术争论,甄别《左传》流变过程中的22个关键文本。  相似文献   

美国大学图书馆馆藏资源组织进展     

蔡颖  蔡迎春 《图书馆论坛》2020,(6):166-173

文章对美国大学图书馆在信息资源组织与利用方面的创新与实践进行梳理总结,以期为国内图书馆的资源建设提供借鉴。选取美国顶尖的11所大学图书馆作为考察对象,重点介绍它们在馆藏特色文献数据化、资源多样化收集与元数据整合、数字资源全生命周期管理方面的特色和进展。图书馆在资源服务方面所扮演的角色在不断演变,美国大学图书馆正借助先进的信息生产、存储和传递技术,向着实现信息资源共建、共知和共享的目标迈进。国内图书馆需要关注新兴技术,加强特藏资源开发,促进纸质与数字资源融合,优化数字资源业务流程。  相似文献